DocumentCode
928209
Title
Toward a theory of unknown functions (Corresp.)
Author
Ingemarsson, I.
Volume
24
Issue
2
fYear
1978
fDate
3/1/1978 12:00:00 AM
Firstpage
238
Lastpage
240
Abstract
A function
is chosen from a finite set of functions
. An outsider observer knows
but not the actual choice
. He is, however, able to make a limited number of observations
satisfying the unknown function
. The uncertainty of the outside observer with respect to the unknown function is measured as the entropy of the output variable
when the function
is regarded as a random choice in
. With this measure, an upper bound on the uncertainty is derived. The existence of unknown functions satisfying this bound is investigated, and necessary and sufficient conditions are derived. The problem is shown to be closely related to the problem of finding algebraic codes with high minimum Hamming distance. The theory can be applied to cryptography, identifying mechanisms, access control in computers, and possibly also to reliability analysis.
is chosen from a finite set of functions
. An outsider observer knows
but not the actual choice
. He is, however, able to make a limited number of observations
satisfying the unknown function
. The uncertainty of the outside observer with respect to the unknown function is measured as the entropy of the output variable
when the function
is regarded as a random choice in
. With this measure, an upper bound on the uncertainty is derived. The existence of unknown functions satisfying this bound is investigated, and necessary and sufficient conditions are derived. The problem is shown to be closely related to the problem of finding algebraic codes with high minimum Hamming distance. The theory can be applied to cryptography, identifying mechanisms, access control in computers, and possibly also to reliability analysis.Keywords
Coding; Entropy functions; Estimation; Probability; Uncertain systems; Access control; Application software; Cryptography; Entropy; Hamming distance; Identity-based encryption; Reliability theory; Sufficient conditions; Uncertainty; Upper bound;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1978.1055852
Filename
1055852
Link To Document